{"id":"W4318710351","doi":"10.2478/jofnem-2022-0058","title":"Genome Characterization and Development of Real-Time PCR Assays for <i>Ditylenchus dipsaci</i> and <i>D. weischeri</i>","year":2022,"lang":"en","type":"article","venue":"Journal of Nematology","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Biology; Nematode; Genome; Weed; Gene; Genetics; DNA sequencing; Genomics; Botany; Computational biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004083361,0.0007301853,0.0005269947,0.0006779762,0.0001930819,0.0004850409,0.0004937226,0.0003732232,0.0009456488],"category_scores_gemma":[0.0008898205,0.0003297353,0.000664669,0.000532663,0.0002837283,0.0002675639,0.000319969,0.0007463077,0.0006268528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00042747,"about_ca_system_score_gemma":0.0002955685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793174,"about_ca_topic_score_gemma":0.002575727,"domain_scores_codex":[0.99944,0.00007342063,0.00004979594,0.0002336915,0.0001326185,0.00007049771],"domain_scores_gemma":[0.9993043,0.0001818342,0.0001900144,0.00006654401,0.0002047492,0.00005253803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005564874,0.00002884187,0.001225958,0.00005322365,0.000005312311,0.00001919938,0.00002810507,0.0001222094,0.9965342,0.00004890042,0.00005927801,0.001819126],"study_design_scores_gemma":[0.00002593216,0.0004174782,0.03010507,0.00002432992,0.00008118269,0.0002045369,0.0001731351,0.006559832,0.9577838,0.0000771819,0.004519372,0.00002823825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150238,0.0009216819,0.06850692,0.0002303451,0.0001130774,0.0004781461,0.01168614,0.0008171029,0.002222729],"genre_scores_gemma":[0.8104801,0.0006528778,0.1622574,0.0002711488,0.00004050867,0.0007824737,0.02220062,0.0002428813,0.003072107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001793174,"threshold_uncertainty_score":0.003565431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006594724615897,"score_gpt":0.2175957872220068,"score_spread":0.1975298399758479,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}